OpenClaw creator working on agents at OpenAI
Peter Steinberger
Peter Steinberger created OpenClaw and works on AI agents at OpenAI. He previously founded PSPDFKit and writes about AI-assisted software development.
About Peter Steinberger
Peter Steinberger is a software developer who created OpenClaw and works on AI agents at OpenAI. He announced joining OpenAI in February 2026, describing his goal as making agents accessible to more people while keeping OpenClaw open and independent.
He previously founded PSPDFKit, a software toolkit for working with PDF documents. His public projects and technical writing cover AI coding workflows, developer tools, and software for macOS and Swift. He publishes under the username steipete.
Mentioned in our coverage
36 articles name Peter Steinberger, excluding author credits.
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- OpenClaw Foundation: 501(c)(3) Non-Profit, Full-Time Team, Major Partners →
Six months after a weekend project in Austria, OpenClaw is a 501(c)(3) with full-time staff, University of Michigan as largest donor, and partners from OpenAI to NVIDIA to Tencent. Peter Steinberger still calls the technical shots.
- Abnormal AI vs Anthropic: Trademark Lawsuit and Abnormal's Public Response →
Anthropic filed a federal trademark suit against cybersecurity vendor Abnormal AI on July 1, 2026. Abnormal's July 7 response says its slash logo dates to 2021 — but the line that broke through on X is different: Abnormal spends >$10M/year on Claude and learned about the lawsuit from a reporter, not Anthropic.
- Claude Code Loops Official Guide: Turn-Based, /goal, /loop, and /schedule (July 2026) →
On July 7, 2026, @ClaudeDevs published the definitive Claude Code loops guide by @delba_oliveira — how the team categorizes loops by trigger, stop criteria, and primitive. explainx.ai maps each type to real commands, skills, and the loop-engineering corpus you already have on-site.
- Andrew Ng's Three Loops for Building 0-to-1 Products with AI Agents →
After Boris Cherny and Peter Steinberger made "loop engineering" viral, Andrew Ng reframes it for 0-to-1 products: an inner coding loop, a developer steering loop, and an outer user-feedback loop — each running on a different clock.
- Anthropic Overtakes OpenAI in U.S. Business Adoption: Ramp AI Index Explained (2026) →
For the first time, more U.S. businesses on Ramp pay for Anthropic than OpenAI — 34.4% vs 32.3% in April 2026, with Anthropic quadrupling share in a year while OpenAI grew 0.3%. The viral X thread tied it to loop engineering and Dario Amodei's claim that some Anthropic engineers barely write code anymore. Here is what the index actually counts, what it does not, and why workflow beats chat.